Background Data on patients with COVID-19 who have cancer are lacking. Here we characterise the outcomes of a cohort of patients with cancer and COVID-19 and identify potential prognostic factors for mortality and severe illness.Methods In this cohort study, we collected de-identified data on patients with active or previous malignancy, aged 18 years and older, with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection from the USA, Canada, and Spain from the COVID-19 and Cancer Consortium (CCC19) database for whom baseline data were added between March 17 and April 16, 2020. We collected data on baseline clinical conditions, medications, cancer diagnosis and treatment, and COVID-19 disease course. The primary endpoint was all-cause mortality within 30 days of diagnosis of COVID-19. We assessed the association between the outcome and potential prognostic variables using logistic regression analyses, partially adjusted for age, sex, smoking status, and obesity. This study is registered with ClinicalTrials.gov, NCT04354701, and is ongoing. FindingsOf 1035 records entered into the CCC19 database during the study period, 928 patients met inclusion criteria for our analysis. Median age was 66 years (IQR 57-76), 279 (30%) were aged 75 years or older, and 468 (50%) patients were male. The most prevalent malignancies were breast (191 [21%]) and prostate (152 [16%]). 366 (39%) patients were on active anticancer treatment, and 396 (43%) had active (measurable) cancer. At analysis (May 7, 2020), 121 (13%) patients had died. In logistic regression analysis, independent factors associated with increased 30-day mortality, after partial adjustment, were: increased age (per 10 years; partially adjusted odds ratio 1•84, 95% CI 1•53-2•21), male sex (1•63, 1•07-2•48), smoking status (former smoker vs never smoked: 1•60, 1•03-2•47), number of comorbidities (two vs none: 4•50, 1•33-15•28), Eastern Cooperative Oncology Group performance status of 2 or higher (status of 2 vs 0 or 1: 3•89, 2•11-7•18), active cancer (progressing vs remission: 5•20, 2•77-9•77), and receipt of azithromycin plus hydroxychloroquine (vs treatment with neither: 2•93, 1•79-4•79; confounding by indication cannot be excluded). Compared with residence in the US-Northeast, residence in Canada (0•24, 0•07-0•84) or the US-Midwest (0•50, 0•28-0•90) were associated with decreased 30-day all-cause mortality. Race and ethnicity, obesity status, cancer type, type of anticancer therapy, and recent surgery were not associated with mortality. Interpretation Among patients with cancer and COVID-19, 30-day all-cause mortality was high and associated with general risk factors and risk factors unique to patients with cancer. Longer follow-up is needed to better understand the effect of COVID-19 on outcomes in patients with cancer, including the ability to continue specific cancer treatments.

Background Obesity has been linked to increased mortality in several cancer types; however, the relationship between obesity and survival in metastatic melanoma is unknown. The aim of this study was to examine the association between BMI, progression-free survival (PFS), and overall survival (OS) in metastatic melanoma. Methods This study included 6 independent cohorts for a total of 1918 metastatic melanoma patients. These included two targeted therapy cohorts [randomized control trials (RCTs) of dabrafenib and trametinib (n=599) and vemurafenib and cobimetinib (n=240)], two immunotherapy cohorts [RCT of ipilimumab + dacarbazine (DTIC) (n=207) and a retrospective cohort treated with anti-PD-1/PDL-1 (n=331)], and two chemotherapy cohorts [RCT DTIC cohorts (n=320 and n=221)]. BMI was classified as normal (BMI 18 to <25; n=694 of 1918, 36.1%) overweight (BMI 25-29.9; n=711, 37.1%) or obese (BMI≥30; n=513, 26.7%). The primary outcomes were the association between BMI, PFS, and OS, stratified by treatment type and sex. These exploratory analyses were based on previously reported intention-to-treat data from the RCTs. The effect of BMI on PFS and OS was assessed by multivariable-adjusted Cox models in independent cohorts. In order to provide a more precise estimate of the association between BMI and outcomes, as well as the interaction between BMI, sex, and therapy type, adjusted hazard ratios were combined in mixed-effects meta-analyses and heterogeneity was explored with meta-regression analyses. Findings In the pooled analysis, obesity, as compared to normal BMI, was associated with improved survival in patients with metastatic melanoma [average adjusted hazard ratio (HR) and 95% CI: 0.77 (0.66-0.90) and 0.74 (0.58-0.95) for PFS and OS, respectively]. The survival benefit associated with obesity was restricted to patients treated with targeted therapy [0.72 (0.57-0.91) and 0.60 (0.45-0.79) for PFS and OS, respectively] and immunotherapy [0.75 (0.56-1.00) and 0.64 (0.47-0.86)]. No associations were observed with chemotherapy [0.87 (0.65-1.17) and 1.03 (0.80-1.34); treatment p for interaction = 0.61 and 0.01, for PFS and OS, respectively]. The prognostic effect of BMI with targeted and immune therapies differed by sex with pronounced inverse associations in males [PFS 0.67 (0.53-0.84) and OS 0.53 (0.40-0.70)], but not females [PFS 0.92 (0.70-1.23) and OS 0.85 (0.61-1.18), sex p for interaction= 0.08 and 0.03, for PFS and OS, respectively] Interpretation Obesity is associated with improved PFS and OS in metastatic melanoma, driven by strong associations observed in males treated with targeted or immune therapy. The magnitude of the benefit detected supports the need for investigation into the underlying mechanism of these unexpected observations Funding ASCO/CCF Young Investigator Award and ASCO/CCF Career Development Award to JLM

Background Patients with cancer may be at high risk of adverse outcomes from SARS-CoV-2 infection. We analyzed a cohort of patients with cancer and COVID-19 reported to the COVID-19 and Cancer Consortium (CCC19) to identify prognostic clinical factors, including laboratory measurements and anti-cancer therapies. Patients and Methods Patients with active or historical cancer and a laboratory-confirmed SARS-CoV-2 diagnosis recorded between March 17-November 18, 2020 were included. The primary outcome was COVID-19 severity measured on an ordinal scale (uncomplicated, hospitalized, admitted to intensive care unit, mechanically ventilated, died within 30 days). Multivariable regression models included demographics, cancer status, anti-cancer therapy and timing, COVID-19-directed therapies, and laboratory measurements (among hospitalized patients). Results 4,966 patients were included (median age 66 years, 51% female, 50% non-Hispanic white); 2,872 (58%) were hospitalized and 695 (14%) died; 61% had cancer that was present, diagnosed, or treated within the year prior to COVID-19 diagnosis. Older age, male sex, obesity, cardiovascular and pulmonary comorbidities, renal disease, diabetes mellitus, non-Hispanic Black race, Hispanic ethnicity, worse ECOG performance status, recent cytotoxic chemotherapy, and hematologic malignancy were associated with higher COVID-19 severity. Among hospitalized patients, low or high absolute lymphocyte count, high absolute neutrophil count, low platelet count, abnormal creatinine, troponin, LDH, and CRP were associated with higher COVID-19 severity. Patients diagnosed early in the COVID-19 pandemic (January-April 2020) had worse outcomes than those diagnosed later. Specific anti-cancer therapies (e.g. R-CHOP, platinum combined with etoposide, and DNA methyltransferase inhibitors) were associated with high 30-day all-cause mortality. Conclusions Clinical factors (e.g. older age, hematological malignancy, recent chemotherapy) and laboratory measurements were associated with poor outcomes among patients with cancer and COVID-19. Although further studies are needed, caution may be required in utilizing particular anti-cancer therapies.

Among 2,186 U.S. adults with invasive cancer and laboratory-confirmed SARS-CoV-2 infection, we examined the association of COVID-19 treatments with 30-day all-cause mortality and factors associated with treatment. Logistic regression with multiple adjustments (e.g., comorbidities, cancer status, baseline COVID-19 severity) was performed. Hydroxychloroquine with any other drug was associated with increased mortality versus treatment with any COVID-19 treatment other than hydroxychloroquine or untreated controls; this association was not present with hydroxychloroquine alone. Remdesivir had numerically reduced mortality versus untreated controls that did not reach statistical significance. Baseline COVID-19 severity was strongly associated with receipt of any treatment. Black patients were approximately half as likely to receive remdesivir as white patients. Although observational studies can be limited by potential unmeasured confounding, our findings add to the emerging understanding of patterns of care for patients with cancer and COVID-19 and support evaluation of emerging treatments through inclusive prospective controlled trials. SIgnIfICAnCe: Evaluating the potential role of COVID-19 treatments in patients with cancer in a large observational study, there was no statistically significant 30-day all-cause mortality benefit with hydroxychloroquine or high-dose corticosteroids alone or in combination; remdesivir showed potential benefit. Treatment receipt reflects clinical decision-making and suggests disparities in medication access.

Immunotherapy has revolutionized treatment for patients with metastatic melanoma, yet data are lacking regarding the effectiveness and tolerability of these treatments for older patients. In this study, we demonstrated that patients with melanoma safely tolerate immunotherapy and achieve similar outcomes regardless of their age. Specifically, we utilized data from two academic cancer centers and found no significant difference in overall survival, progression free survival, or immune-related toxicities, other than arthritis, across age groups. As the population ages, studies such as this will become critical to help us understand how best to treat older adults with cancer.